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Data Mining Using Grammar Based Genetic Programming and Applications -  Man Leung Wong

Data Mining Using Grammar Based Genetic Programming and Applications

Man Leung Wong (Autor)

Kwong Sak Leung (Herausgeber)

Online Resource
228 Seiten
2000
Kluwer Academic Publishers (Hersteller)
978-0-306-47012-7 (ISBN)
CHF 279,95 inkl. MwSt
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Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially useful information from databases. Genetic Programming (GP) and Inductive Logic Programming (ILP) are two of the approaches for data mining. This book first sets the necessary backgrounds for the reader, including an overview of data mining, evolutionary algorithms and inductive logic programming. It then describes a framework, called GGP (Generic Genetic Programming), that integrates GP and ILP based on a formalism of logic grammars. The formalism is powerful enough to represent context-sensitive information and domain-dependent knowledge. This knowledge can be used to accelerate the learning speed and/or improve the quality of the knowledge induced. A grammar-based genetic programming system called LOGENPRO (The LOGic grammar based GENetic PROgramming system) is detailed and tested on many problems in data mining. It is found that LOGENPRO outperforms some ILP systems. The text also illustrates how to apply LOGENPRO to emulate Automatically Defined Functions (ADFs) to discover problem representation primitives automatically.; By employing various knowledge about the problem being solved, LOGENPRO can find a solution much faster than ADFs and the computation required by LOGENPRO is much smaller than that of ADFs. Moreover, LOGENPRO can emulate the effects of Strongly Type Genetic Programming and ADFs simultaneously and effortlessly.

List of Figures. List of Tables. Preface. 1. Introduction. 2. An Overview of Data Mining. 3. An Overview on Evolutionary Algorithms. 4. Inductive Logic Programming. 5. The Logic Grammars Based Genetic Programming System (LOGENPRO). 6. Data Mining Applications Using LOGENPRO. 7. Applying LOGENPRO for Rule Learning. 8. Medical Data Mining. 9. Conclusion and Future Work. Appendix A: The Rule Sets Discovered. Appendix B: The Grammar Used for the Fracture and Scoliosis Databases. References. Index.

Reihe/Serie Genetic Programming ; 3
Verlagsort Dordrecht
Sprache englisch
Themenwelt Informatik Theorie / Studium Algorithmen
Informatik Theorie / Studium Kryptologie
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
ISBN-10 0-306-47012-8 / 0306470128
ISBN-13 978-0-306-47012-7 / 9780306470127
Zustand Neuware
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